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Integrating Artificial Intelligence-Driven Principles in Enhancing Water Management: Assessing the Prospects and Challenges in Achieving Water Security in South Africa

Crossref DOI link: https://doi.org/10.1007/s41101-026-00566-1

Published Online: 2026-09-22

Published Print: 2026-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Adom, Richard Kwame
Funding

Funding for this research was provided by:

University of the Witwatersrand
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Text and Data Mining valid from 2026-09-22

Version of Record valid from 2026-09-22
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Article History

Received: 4 June 2026

Revised: 11 August 2026

Accepted: 7 September 2026

First Online: 22 September 2026

Declarations

Conflict of interest: The authors declare that there are no conflicts of interest in writing this manuscript.

Ethics Clearance Statement: The research involving human participants was conducted in accordance with the ethical standards and guidelines of the University of the Witwatersrand Human Research Ethics Committee (Non-Medical), and in alignment with the principles of the Declaration of Helsinki (1964) and its subsequent amendments.

Ethical approval: for this study was granted by the University of the Witwatersrand Human Research Ethics Committee (Non-Medical), which serves as the Institutional Review Board (IRB) for non-medical research involving human participants.

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